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The Game Data Analyst partners with product and game teams to analyze player behavior, build analytics‑ready data models, run A/B tests, and deliver visual reports, primarily using SQL, dbt and data‑visualization tools.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and transformation layers using Snowflake, DBT, and Airflow, supporting internal analytics and machine‑learning workloads while collaborating with data scientists and analysts.
The senior data quality engineer will analyze and improve data quality for a corporate data warehouse, developing SQL and Python scripts, building DQ tools, and collaborating on ETL and data contracts using PostgreSQL, ClickHouse, S3, Kafka, Airflow, and Grafana.
Lead data platform design, ETL/ELT pipelines, and SQL Server database management for a foodservice data analytics company.
Lead database developer responsible for modernizing and supporting the data processing platform, building batch and streaming pipelines, migrating from MS SQL to PostgreSQL, and writing PL/pgSQL code, using Python, Docker, and CI/CD tools.
The Senior Analytics Engineer owns end‑to‑end data products, onboarding new sources, building and orchestrating scalable pipelines, modeling data with dbt on Snowflake, and using AI coding tools daily, leveraging strong SQL and Python skills.
Lead a data engineering team at Formation Bio, building and governing an AI‑native data platform (Snowflake, Dagster/Airflow, dbt) to support clinical operations and analytics, while coaching engineers and integrating AI tools into pipelines.
Lead a team of data engineers to build and maintain Dropbox's core data platform, ensuring reliability, quality, and cost efficiency for business-critical pipelines and self-serve analytics tools.
The Data Engineer Consultant builds and deploys production data pipelines for enterprise clients, modernizing legacy setups into cloud‑native lakehouses using Databricks, PySpark, dbt, SQL, and Terraform, and orchestrates workflows with Airflow.
Builds and scales UiPath's AI agentic orchestration platform, designing distributed systems that coordinate AI agents, robots, and human workflows for enterprise automation using Python, C#, React, and cloud-native tools.
Designs and deploys high-performance GPU clusters for AI workloads, owning the full architecture cycle from customer requirements to production deployment.
Junior Data Engineer on MTS Web Services' B2B Scoring product (Big Data): builds and maintains ETL/ELT pipelines, writes and optimizes SQL, prepares data for analytics and ML, and automates routine tasks with Python. Core stack is Python, SQL and big data (HDFS, Spark); PySpark, Airflow, Kafka and ClickHouse are pluses.
Data analyst (middle/senior) on VTB Bank's retail 'Virtual Assistants' team: builds analytical reports and dashboards, runs A/B tests, evaluates feature impact and segments the customer base using SQL (PostgreSQL, Greenplum, Hadoop), Python (pandas, numpy, scipy, statsmodels) and Airflow. Onsite in Moscow.
Data Engineer at Devoteam, a global tech consulting firm and Google Cloud partner, based in Jakarta, Indonesia. Day to day: designing data architectures, building and maintaining ETL pipelines, data warehouses and lakes, and integrating data sources using Python/SQL, big data tools (Spark, Kafka, Airflow) and cloud platforms, with GCP certifications required within 3 months of joining.
Data Engineer at Solve Education! (Indonesia) designs and manages scalable data pipelines and ensures data quality for an AI-powered learning platform, partnering with teams to turn business needs into data solutions using SQL, Python, BigQuery, and Apache Airflow.
Principal Data Engineer at DriveWealth builds and maintains scalable data pipelines and models in Databricks, dbt, and Python to power financial insights and reporting for a global fintech platform.
Design and guide cloud‑native, microservice SaaS platforms while building GenAI agents and APIs, using Azure/AWS, Docker, Kubernetes, Terraform, Python/Node.js, and related AI/ML tools.
Build and maintain ETL pipelines in Airflow, design distributed data storage systems, and automate analytics infrastructure for a leading Russian/CIS streaming platform.
Designs, builds, and maintains batch and real-time data pipelines for a banking-sector client, integrating financial and transactional data while ensuring quality, security, and regulatory compliance. Core stack: SQL, Python, Spark, Airflow, Teradata, data lakes/warehouses, and AWS/Azure/GCP.
Senior Data Engineer responsible for designing and building complex ETL pipelines and backend data solutions, using SSIS, Apache Airflow, dbt, Snowflake and AWS on a cloud‑native platform.
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